Results 91 to 100 of about 457,809 (317)

Active microwave sensing of the atmosphere, chapter 4 [PDF]

The use of active microwave systems to study atmospheric phenomena is studied. Atmospheric pollution, weather prediction, climate and weather modification, weather danger and disaster warning, and atmospheric processes and interactions are ...

core   +1 more source

All‐in‐One Analog AI Hardware: On‐Chip Training and Inference with Conductive‐Metal‐Oxide/HfOx ReRAM Devices

Advanced Functional Materials, EarlyView.
An all‐in‐one analog AI accelerator is presented, enabling on‐chip training, weight retention, and long‐term inference acceleration. It leverages a BEOL‐integrated CMO/HfOx ReRAM array with low‐voltage operation (<1.5 V), multi‐bit capability over 32 states, low programming noise (10 nS), and near‐ideal weight transfer.
Donato Francesco Falcone, Victoria Clerico, Wooseok Choi, Tommaso Stecconi, Folkert Horst, Laura Bégon‐Lours, Matteo Galetta, Antonio La Porta, Nikhil Garg, Fabien Alibart, Bert Jan Offrein, Valeria Bragaglia   +11 more
wiley   +1 more source

Predicting Inflation: Professional Experts Versus No-Change Forecasts [PDF]

, 2010
We compare forecasts of United States inflation from the Survey of Professional Forecasters (SPF) to predictions made by simple statistical techniques. In nowcasting, economic expertise is persuasive. When projecting beyond the current quarter, novel yet
Gneiting, Tilmann, Thorarinsdottir, Thordis L.   +1 more
core  

Prediction Space Weather Using an Asymmetric Cone Model for Halo CMEs

, 2007
Halo coronal mass ejections (HCMEs) are responsible of the most severe geomagnetic storms. A prediction of their geoeffectiveness and travel time to Earth's vicinity is crucial to forecast space weather.
A. Dal Lago, C. Wu, D.F. Webb, G. Michalek, G. Michalek, G. Michalek, G. Michalek, G.E. Brueckner, G.M. Lindsay, H. Cremades, H. Xie, H. Xie, H.V. Cane, J. Chen, J. Chen, J. Chen, J. Krall, J. Zhang, J.-P. Delaboudiniére, K.P. Dere, K.W. Ogilvie, N. Gopalswamy, N. Gopalswamy, N. Gopalswamy, N. Gopalswamy, N. Gopalswamy, N. Gopalswamy, N. Gopalswamy, N. Srivastava, O.C. Cyr St., P.K. Manoharan, R.P. Lepping, S. Yashiro, S. Yashiro, S.P. Plunkett, S.W. Kahler, T.G. Forbes, V. Yurchyshyn, X.P. Zhao, Y.-J. Moon   +39 more
core   +1 more source

Prospects of Electric Field Control in Perpendicular Magnetic Tunnel Junctions and Emerging 2D Spintronics for Ultralow Energy Memory and Logic Devices

Advanced Functional Materials, EarlyView.
Electric control of magnetic tunnel junctions offers a path to drastically reduce the energy requirements of the device. Electric field control of magnetization can be realized in a multitude of ways. These mechanisms can be integrated into existing spintronic devices to further reduce the operational energy.
Will Echtenkamp, Brahmdutta Dixit, Yifei Yang, Deyuan Lyu, Thomas Peterson, Qi Jia, Yu‐Chia Chen, Jian‐Ping Wang   +7 more
wiley   +1 more source

Projecting Northern Hemisphere Flow Regime Transition Using Integrated Enstrophy

Atmosphere, 2020
Integrated enstrophy (IE) is the square of vorticity integrated over an entire hemisphere at a particular level in the atmosphere. Previous work has shown this quantity is correlated to the positive Lyapunov Exponent for hemispheric flow, and as such is ...
Emily Klaus, Patrick Market, Anthony Lupo, Michael Bodner, Joshua Kastman   +4 more
doaj   +1 more source

Improving the predictability of take-off times with Machine Learning : a case study for the Maastricht upper area control centre area of responsibility [PDF]

, 2018
The uncertainty of the take-off time is a major contribution to the loss of trajectory predictability. At present, the Estimated Take-Off Time (ETOT) for each individual flight is extracted from the Enhanced Traffic Flow Management System (ETFMS ...
Ballerini, Franck, Belkoura, Seddik, Dalmau Codina, Ramon, Naessens, Herbert, Wagnick, Sebastian   +4 more
core  

Artificial Intelligence‐Driven Development in Rechargeable Battery Materials: Progress, Challenges, and Future Perspectives

Advanced Functional Materials, EarlyView.
AI is transforming the research paradigm of battery materials and reshaping the entire landscape of battery technology. This comprehensive review summarizes the cutting‐edge applications of AI in the advancement of battery materials, underscores the critical challenges faced in harnessing the full potential of AI, and proposes strategic guidance for ...
Qingyun Hu, Junyuan Lu, Jian Hui, Ziyuan Rao, Yang Ren, Hong Wang   +5 more
wiley   +1 more source

Effect of Horizontal Resolution on a Meso‐β‐Scale Vortex Simulation in an Extreme Rainstorm on 22 May 2020 Over South China: A Contrastive Study Based on Different‐Resolution Ensembles

Earth and Space Science
A transient extreme rainstorm that occurred over Guangzhou city, China, on 22 May 2020, has been investigated based on two ensemble prediction systems (EPSs), one with 9‐km (TRAMS9km‐EPS) and the other with 3‐km (TRAMS3km‐EPS) grid spacings, respectively.
Guanshun Zhang, Xubin Zhang, Zhaoli Yang
doaj   +1 more source

Machine learning for weather predictions

, 2020
Seminar talk at the University of Cape ...
openaire   +1 more source